Minimum qualifications: + Bachelor's degree in business, computer science, or a related field or equivalent practical experience. + 10 years of experience working as a solutions/sales engineer in a cloud computing environment, or in a customer-facing role in a professional services or consulting capacity. + Experience writing cloud native POCs and solutions, leveraging Python and SQL. + Experience with AI applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques and using OSS frameworks (e.g., TensorFlow, PyTorch). + Ability to travel up to 50% of the time to global Google office locations. Preferred qualifications: + Experience with data, information management and databases relating to big data trends and emerging AI technologies. + Experience with architecture, operational aspects of distributed systems, and technologies in the big data, Machine Learning, and emerging GenAI ecosystem. + Knowledge of application ecosystems. + Understand and describe application and value of different LLM technologies + Ability to collaborate across organizational boundaries and ambiguous, environments while building relationships to achieve business goals. As a critical technical member of the Cloud Solution Accelerator Workshops (C-SAW) team, you will lead discovery and solutioning in customer workshops designed to assess their business needs and technical requirements. You will guide customers through a series of activities that will help them understand solutions, prioritize those solutions, overcome technical objections, and guide them through POC creation. You will also work collaboratively with our Product, Industry, Engineering, and Specialist Sales teams. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $165,000-$245,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) . + Engage in development any one of the following: Python, Java, Javascript, or Go), extensive SQL, and utilize knowledge of data, AI/ML, GenAI, and prompt engineering to implement/refine customer solutions and build technical assets (scripts, templates, reference architectures, POCs). + Utilize your knowledge of translating customer objectives into technical solutions to reach commercial outcomes. + Lead and facilitate solutioning workshops through an innovation lens, using a Design Thinking approach to framing customer problems, business opportunities, and paths to solutions. + Leverage collaborative partnerships with cross-functional teams and a network of subject matter experts, both internal and external, to deliver the customer experiences and ensure the expertise is mapped to customer outcomes. + Deliver technical thought leadership for Google, sharing products and engaged expertise with peers and customers. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.